Seungyeop Song
Seungyeop Song publishes mostly in Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as IoT and Edge/Fog Computing, Software-Defined Networks and 5G and Caching and Content Delivery.
- World rank
- #6,736,049 of 7,710,434 ranked researchers
- Rank in South Korea
- #134,002 of 162,609
- Works
- 17
- Citations
- 52
- Citations per work
- 3.1
What does Seungyeop Song research?
Seungyeop Song's work is mostly in Computer Science (53%), Engineering (22%), Medicine (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1375.0%
- Computer Science952.5%
- Engineering422.5%
- Everything else317.5%
- Health Sciences17.5%
- Medicine17.5%
- 1Computer Networks and Communications32% of their works
- 2Electrical and Electronic Engineering15% of their works
- 3Artificial Intelligence12% of their works
- 4Aerospace Engineering8% of their works
- 5Surgery8% of their works
- 6Information Systems8% of their works
Research topics
Which keywords describe Seungyeop Song's research?
The keywords of their largest research topics: 5G Networks, Deep Learning, Edge Computing, Energy Efficiency, Internet of Things, Machine Learning, Network Virtualization and Software-Defined Networking.
- Statistical Machine Translation
- Neural Networks
- MRI
- Massive MIMO
- Cloud Computing
- Caching
- Software-Defined Networking
- Machine Learning
- Energy Efficiency
- Deep Learning
- 5G Networks
- Edge Computing
- Internet of Things
- Network Virtualization
- Big Data
- Cellular Networks
- Information-Centric Networking
- Brain Tumor
- Neural Machine Translation
- Self-Organizing Maps
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- 5G Networks72 topics
- Deep Learning63 topics
- Edge Computing41 topic
- Energy Efficiency42 topics
- Internet of Things41 topic
- Machine Learning32 topics
- Network Virtualization31 topic
- Software-Defined Networking31 topic
- Big Data21 topic
- Caching21 topic
- Cellular Networks21 topic
- Cloud Computing21 topic
- Information-Centric Networking21 topic
- Massive MIMO21 topic
- Brain Tumor11 topic
- MRI11 topic
- Neural Machine Translation11 topic
- Neural Networks11 topic
- Self-Organizing Maps11 topic
- Statistical Machine Translation11 topic
Where does Seungyeop Song work?
Seungyeop Song's main affiliation in the publication record is Seoul National University of Science and Technology, South Korea.
How many publications and citations does Seungyeop Song have?
OpenAlex counts 17 works and 52 citations for Seungyeop Song, an h-index of 3, ranking #6,736,049 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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